MobiVis: A visualization system for exploring mobile data

IEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings

Volumn , Issue , 2008, Pages 175-182

  Shen, Zeqian ^a   Kwan Liu, Ma ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Information visualization; Mobile data; Social spatial temporal data visualization; Visual analytics

Indexed keywords

BEHAVIOR PATTERNS; BUSINESS OPPORTUNITIES; DATA SETS; DATA SUBSETS; GROUP BEHAVIORS; HETEROGENEOUS NETWORKS; HUMAN BEHAVIORS; INFORMATION VISUALIZATION; INTERACTIVE EXPLORATION; MARKET STRATEGIES; MOBILE DATA; SEMANTIC FILTERING; SOCIAL-SPATIAL-TEMPORAL DATA VISUALIZATION; SPATIAL INFORMATIONS; SYSTEM SUPPORTS; VISUAL ANALYSIS; VISUAL ANALYTICS; VISUALISATION; VISUALIZATION SYSTEMS; WIDESPREAD USE;

BEHAVIORAL RESEARCH; CHLORINE COMPOUNDS; INFORMATION RETRIEVAL SYSTEMS; INFORMATION THEORY; MOBILE DEVICES; ONTOLOGY; TELECOMMUNICATION; TELECOMMUNICATION EQUIPMENT; VISUALIZATION;

DATA VISUALIZATION;

EID: 49749128458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACIFICVIS.2008.4475474     Document Type: Conference Paper

References (19)

1. http://news.bbc.co.uk/1/hi/business/4257739.stm.
2. http://reality.media.mit.edu/viz.php.
3. P.Compieta, S. D. Martino, M. Bertolotto, F. Ferrucci, and T. Kechadi. Exploratory spatio-temporal data mining and visualization. J. Vis. Long. Comput., 18(3):255-279, 2007.
4. N. Eagle and A. Pentland. Eigenbehaviors: Identifying structure in routine. In Proc. Roy. Soc. A (in submission), 2006.
5. N. Eagle and A. Pentland. Reality mining: sensing complex social systems. Personal Ubiquitous Comput., 10(4):255-268, 2006.
6. H. Hochheiser and B. Shneiderman. Dynamic query tools for time series data sets: timebox widgets for interactive exploration. Information Visualization, 3(1):1-18, 2004.
7. T. Kapler and W. Wright. Geotime information visualization. In INFOVIS '04: Proceedings of the IEEE Symposium on Information Visualization (INFOVIS'04), pages 25-32," Washington, DC, USA, 2004. IEEE Computer Society.
8. G. M. Karam. Visualization using timelines. In ISSTA '94: Proceedings of the 1994 ACM SIGSOFT international symposium on Software testing and analysis, pages 125-137, New York, NY, USA, 1994. ACM.
9. P. Klein, F. Mller, H. Reiterer, and M. Eibl. Visual information retrieval with the supertable + scatterplot. In IV, pages 70-75, 2002.
10. G. Kumar and M. Garland. Visual exploration of complex time-varying graphs. IEEE Transactions on Visualization and Computer Graphics, 12(5):805-812, 2006.
11. M.-P. Kwan and J. Lee. Geovisualization of human activity patterns using 3D GIS: A time-geographic approach, chapter 3, pages 48-66. Oxford University Press, 2004.
12. K. Laasonen. Clustering and prediction of mobile user routes from cellular data. In PKDD, pages 569-576, 2005.
13. M. J. Lambert. Visualizing and analyzing human-centered data streams. Master's thesis, Massachusetts Institute of Technology, USA, 2005.
14. J. Moody, D. McFarland, and S. Bender-deMoll. Dynamic network visualization. American Journal of Sociology, 110(4): 1206-1241, 2005.
15. A. Noack. Energy-based clustering of graphs with nonuniform degrees. In Proc. of Graph Drawing '05, pages 309-320, 2005.
16. M. Raento, A. Oulasvirta, R. Petit, and H. Toivonen. Contextphone: A prototyping platform for context-aware mobile applications. IEEE Pervasive Computing, 4(2):51-59, 2005.
17. R. H. Ryan Eccles, Thomas Kapler and W. Wright. Stories in geotime. In VAST '07: Proceedings of the IEEE Symposium on VAST (VAST 07), 2007.
18. Z. Shen, K.-L. Ma, and T. Eliassi-Rad. Visual analysis of large heterogeneous social networks by semantic and structural abstraction. IEEE Transactions on Visualization, and Computer Graphics, 12(6): 1427-1439, 2006.
19. J. J. van Wijk and E. R. V. Selow. Cluster and calendar based visualization of time series data. In INFOVIS '99: Proceedings of the 1999 IEEE Symposium on Information Visualization, page 4, Washington, DC, USA, 1999. IEEE Computer Society.